International audience

With the increase of virtual reality (VR) applications in daily life, protecting the comfort and health of VR users has become increasingly important. The immersive nature of VR often results in decreased eye blinking and movement, putting users at risk of developing conditions such as dry eye syndrome and eye strain. In this article, we propose visual interfaces to induce temporary eye blinks or movements by drawing users' attention temporarily in order to mitigate the negative effects of VR on eye health. Our proposed interfaces can induce eye blinking and movement, which are known to mitigate eye problems in VR. The experimental results confirmed that our interfaces increase the frequency of eye blinking and movement in VR users.

In the FAT32 file system, a null byte in the metadata means that there is no file or folder. Since the metadata are stored consecutively, if the first byte of a metadata field is null, the operating system does not read data anymore. In this study, we propose an anti-forensic technique referred to as "NULL Byte injection", which hides files or folders by injecting null bytes into the metadata field of the FAT32 file system. We presented 3 injection methods for hiding, and we evaluated the effectiveness and limitations of each injection method through experiments. As a result, we confirmed that our technique can hide files or folders in Windows OS. Based on the injection method, different effects were observed. We also confirmed that our methods can hide files or folders and bypass the detection of several forensic tools. Our technique can contribute to preventing such anti-forensic attacks by exploiting the mechanism of the file system to hide data.

User comments provide valuable information for requirements analysis. To effectively extract requirements from user comments, it is important to determine informative user comments. However, existing studies have mainly focused on NLP-based methods for analyzing user comments, rather than defining a set of user comments to be analyzed. If target user comments are not clearly determined, duplicate requirements can be discovered or new requirements cannot be discovered. To tackle this problem, we present a new method which defines a set of target corpora from user comments. Our method automatically defines a set of target corpora to be analyzed by identifying underlying temporal changes in user comments. We applied our method to real-world user comments collected from a mobile application store. We confirmed that our method successfully defined a set of corpora which aids the effective requirements elicitation, and facilitated discovering new requirements while avoiding the derivation of redundant requirements.

Regression testing is an important but costly activity for verifying a programme with the changed code. Regression test selection (RTS) aims to reduce this cost by selecting only the test cases affected by the changes. Among the several ways of selecting such affected test cases, call graphs have been statically constructed to select the test cases at the method‐level granularity. However, RTS techniques will reduce the cost of regression testing less than expected unless the call graphs are efficiently one‐to‐one matched with the test cases. In this study, the authors propose overlap‐aware rapid type analysis (ORTA). ORTA is designed to minimise the redundant cost of creating the matched call graphs using rapid type analysis (RTA). The one‐to‐one matching and ORTA were evaluated on 1487 commits selected from 30 Java projects. RTA‐based RTS with the one‐to‐one matching selected 46.90% fewer test cases with 2.76% longer end‐to‐end time of regression testing than without the one‐to‐one matching. The time increased with the one‐to‐one matching was reduced by 22.58% when ORTA substituted for RTA. ORTA achieved the cost reduction while removing 82.77% of the duplicate edges that RTA created on 993 commits.